How to Install and Uninstall python-tables Package on Ubuntu 16.04 LTS (Xenial Xerus)

Last updated: December 25,2024

1. Install "python-tables" package

This guide covers the steps necessary to install python-tables on Ubuntu 16.04 LTS (Xenial Xerus)


    
        
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                sudo apt update
            
                    
    
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                sudo apt install
            
                        
                python-tables
            
                    
    
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2. Uninstall "python-tables" package

Please follow the guidance below to uninstall python-tables on Ubuntu 16.04 LTS (Xenial Xerus):


    
        
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                sudo apt remove
            
                        
                python-tables
            
                    
    
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                sudo apt autoclean && sudo apt autoremove
            
                    
    
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3. Information about the python-tables package on Ubuntu 16.04 LTS (Xenial Xerus)

Package: python-tables
Priority: optional
Section: universe/python
Installed-Size: 2818
Maintainer: Ubuntu Developers
Original-Maintainer: Debian Science Maintainers
Architecture: all
Source: pytables
Version: 3.2.2-2
Depends: python-numpy, python-numexpr, python:any (<< 2.8), python:any (>= 2.7.5-5~), python-tables-lib (>= 3.2.2-2), python-tables-lib (<< 3.2.2-2.1~), python-tables-data (= 3.2.2-2)
Suggests: python-tables-doc, python-netcdf, vitables
Filename: pool/universe/p/pytables/python-tables_3.2.2-2_all.deb
Size: 335424
MD5sum: d0f9c0b5dc484c03047713e367cb7df2
SHA1: 2442a202bb903b85d9ca5ec77b33222d77ddedd7
SHA256: 09aa58a3c2b4e916c0b3f5800f342ef70c51dd125d296c1b4e6f7d335818b39f
Description-en: hierarchical database for Python based on HDF5
PyTables is a hierarchical database package designed to efficiently
manage very large amounts of data. PyTables is built on top of the
HDF5 library and the NumPy package. It features an object-oriented
interface that, combined with natural naming and C-code generated
from Pyrex sources, makes it a fast, yet extremely easy to use tool
for interactively save and retrieve large amounts of data.
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- Compound types (records) can be used entirely from Python (i.e. it
is not necessary to use C for taking advantage of them).
- The tables are both enlargeable and compressible.
- I/O is buffered, so you can get very fast I/O, specially with
large tables.
- Very easy to select data through the use of iterators over the
rows in tables. Extended slicing is supported as well.
- It supports the complete set of NumPy, Numeric and numarray objects.
.
This is the Python 2 version of the package.
Description-md5: d439e2a3139e7d57994007a5d544bdfe
Homepage: http://www.pytables.org
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Origin: Ubuntu